ptdictionary.java
来自「This is a resource based on j2me embedde」· Java 代码 · 共 76 行
JAVA
76 行
/* * * * Copyright 1990-2007 Sun Microsystems, Inc. All Rights Reserved. * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License version * 2 only, as published by the Free Software Foundation. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License version 2 for more details (a copy is * included at /legal/license.txt). * * You should have received a copy of the GNU General Public License * version 2 along with this work; if not, write to the Free Software * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA * 02110-1301 USA * * Please contact Sun Microsystems, Inc., 4150 Network Circle, Santa * Clara, CA 95054 or visit www.sun.com if you need additional * information or have any questions. */package com.sun.midp.chameleon.input;/** * Interface for predictive text processing * * This class is responsible for initializing the Dictionary * Two APIs are required, * addWord : An interface to add a word to current dictionary (if supported) * iterator: Get a iterator object with the following methods * iterator.next() : get next possible completion string * iterator.hasNext() : check if another possible completion exists * iterator.nextLevel(int key) : add a char to the current completion * iterator.provLevel() : backspace last char from current completion * iterator.reset() : clear current completion * iteratr.resetNext() : revert to first possible completion string * * Example of using the predictive text API: * * PTDictionary dictionary; * PTIterator iter=dictionary.iterator(); * iter.nextLevel('2'); * iter.nextLevel('2'); * iter.nextLevel('2'); * while(iter.hasNext()) { * String completion=iter.next(); * System.out.println(completion); * //will print "aca" (short of "academy") "cab" (short of "cabin"), * // "acc" (short of "accelerate") etc. * } * */public interface PTDictionary { /** * get a iterator to the predictive text library * * @return a predictive text Iterator */ public PTIterator iterator(); /** * add a new word to the dictionary * * @param word new word to add to dictionary * @return true if new word was added, false otherwise */ public boolean addWord(String word);}
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